Cloud & Data Engineering
01Moving data from where it is produced to where it can be queried, and keeping the throughput honest once it is under load.
- AWS
- Cloudflare Workers
- Docker
- SQL
- Redis
- REST APIs
Computer Science · Mathematics
I build systems at the edge of theory and practice.
IstudiedcomputerscienceandmathematicsatMaryland,andIamnowatColumbiaforamaster'sincomputerscience.
Moving data from where it is produced to where it can be queried, and keeping the throughput honest once it is under load.
Training models, and more often making an inference pipeline that already works fast enough to be worth running.
Control loops, concurrent backends and the layer where software has to agree with hardware about timing.
The statistics underneath the engineering: fitting a model, bounding its error, and telling when a result is inside the noise.